@NSSDeviations In fact, @hspter, I like the way you discuss functions and modular/testable code in opinionated analysis development (https://t.co/doOSVViaxU). Have your own opinions changed?
.@juliesquid Also see the @thePeerJ Preprint collection https://t.co/pg37YzqLjY, which includes @hspter’s “Opinionated analysis development” https://t.co/eFzaUVWnYw https://t.co/TJeTUf1ZoP
@benmarwick @tslumley @FrederikAust @rOpenSci I can't stop thinking about how plots aren't agnostic. That plot tools with statistical software packages are inherently, if inadvertently, opinionated. And plots do invite certain interpretations, emphasise some over others and all that, variables, etc.
https://t.co/0Xtmkh19Ut
#SDSS2019 @TiffanyTimbers workflow features: version control, exec analysis scripts and pipelines, defined and shippable dependencies -- owing to Hillary Parker's opinionated analysis development https://t.co/51bbXoPz8o
@benmarwick @adamhsparks @alexpghayes @malco_barrett And that leaves the user free to write a short, custom caption in bookdown::, if they wish - and also label/cross-ref the figure.
Here I use "opinionated" in this sense:
https://t.co/0Xtmkh19Ut
@dylanjm_ds @thomas_mock Last one: here’s another similar article to above with even more focus on great R tools for a strong analysis workflow https://t.co/peT7GD0zcp
@healthstatsdude @ChrisLuv @JohnGandy @kjhealy @hadleywickham The paper "Opinionated Analysis Development" by @hspter is a higher-level abstraction of similar ideas
https://t.co/FxXqMJSBGp
- reproducible & auditable (the code documents the process explicitly)
- accurate
- collaborative
What would standards for workflow look like? @hspter has an article (https://t.co/0qHVttUtuy) on Opinionated Analysis Development that I encourage you to check out. It lays out key features she thinks an analysis should have and an "opinion" on how to achieve that. At the very
.@hspter shares the idea of blameless postmortems - if something goes wrong, the system failed you. Don’t blame the person, figure out how to make the system better. Check out her paper on this & opinionated frameworks for data analysis https://t.co/YldZWRA5Za #Rstudioconf https://t.co/jZT33waSSM
@f_chiare Also this article from Hilary Parker is a nice citation of specific programming tools that explains their relevance to DS: https://t.co/peT7GD0zcp
Finally read Hilary ( @hspter) Parker’s paper “Opinionated Analysis Development”.
https://t.co/KwFjDU1FMc
She’s probably the person from the R community pushing hardest on the same broad TDDA-like ideas as we are, with lots of devops-inspired perspectives.